Overview

Dataset statistics

Number of variables37
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.0 KiB
Average record size in memory297.3 B

Variable types

NUM28
CAT9

Warnings

rot_45_x is highly correlated with rot_30_x and 2 other fieldsHigh correlation
rot_30_x is highly correlated with rot_45_x and 2 other fieldsHigh correlation
cc_ZA is highly correlated with c_WCHigh correlation
c_WC is highly correlated with cc_ZAHigh correlation
rot_45_y is highly correlated with rot_30_x and 2 other fieldsHigh correlation
c_SULTRA is highly correlated with cc_IDHigh correlation
cc_ID is highly correlated with c_SULTRAHigh correlation
c_ER is highly correlated with cc_NAHigh correlation
cc_NA is highly correlated with c_ERHigh correlation
pca_y is highly correlated with phi and 2 other fieldsHigh correlation
phi is highly correlated with pca_y and 1 other fieldsHigh correlation
cc_AU is highly correlated with pca_y and 1 other fieldsHigh correlation
rot_30_y is highly correlated with phi and 4 other fieldsHigh correlation
cc_AQ is highly correlated with pca_x and 1 other fieldsHigh correlation
pca_x is highly correlated with cc_AQ and 1 other fieldsHigh correlation
r is highly correlated with pca_xHigh correlation
cc_ZA is highly correlated with c_WCHigh correlation
c_WC is highly correlated with cc_ZAHigh correlation
pca_x has unique values Unique
h_dist has unique values Unique
rot_30_x has unique values Unique
rot_y has unique values Unique
phi has unique values Unique
b_deg has unique values Unique
m_dist has unique values Unique
amt has unique values Unique
pca_y has unique values Unique
rot_30_y has unique values Unique
r has unique values Unique
bal has unique values Unique

Reproduction

Analysis started2021-06-03 15:55:30.215743
Analysis finished2021-06-03 15:57:13.995062
Duration1 minute and 43.78 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

pca_x
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.134781489e-18
Minimum-1.292186115
Maximum9.267661739
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:14.064077image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.292186115
5-th percentile-0.9468389792
Q1-0.1929173515
median0.09691920085
Q30.1101434822
95-th percentile0.1183907813
Maximum9.267661739
Range10.55984785
Interquartile range (IQR)0.3030608336

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.9573137e+17
Kurtosis74.66656177
Mean5.134781489e-18
Median Absolute Deviation (MAD)0.02949799582
Skewness7.939888546
Sum5.134781489e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:14.206108image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.108981322611.0%
 
0.115012480911.0%
 
0.0907402810511.0%
 
0.0166641262811.0%
 
0.111529599511.0%
 
0.0158399614411.0%
 
0.0227273542411.0%
 
-1.29140533211.0%
 
0.0166090715711.0%
 
0.115936872111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.29218611511.0%
 
-1.29140533211.0%
 
-1.28970745411.0%
 
-1.10860531911.0%
 
-0.947367070711.0%
 
ValueCountFrequency (%) 
9.26766173911.0%
 
0.207646292511.0%
 
0.135171920611.0%
 
0.131381395211.0%
 
0.121452998211.0%
 

h_dist
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.687538997e-16
Minimum-0.7489088481
Maximum3.456030091
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:14.349140image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7489088481
5-th percentile-0.7031980147
Q1-0.5835445271
median-0.4574772953
Q30.1900933039
95-th percentile2.529380595
Maximum3.456030091
Range4.204938939
Interquartile range (IQR)0.773637831

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-5.955642014e+15
Kurtosis3.806422551
Mean-1.687538997e-16
Median Absolute Deviation (MAD)0.193778714
Skewness2.123209362
Sum-1.687538997e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:14.493172image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.29959241511.0%
 
0.406703662811.0%
 
0.330191989511.0%
 
-0.3659254911.0%
 
-0.113544376911.0%
 
-0.677095598511.0%
 
-0.32693656511.0%
 
-0.719204501911.0%
 
-0.170336646211.0%
 
-0.42291391311.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-0.748908848111.0%
 
-0.735845379311.0%
 
-0.719204501911.0%
 
-0.714617079511.0%
 
-0.70757713511.0%
 
ValueCountFrequency (%) 
3.45603009111.0%
 
3.35312754911.0%
 
3.16846595911.0%
 
2.95517598711.0%
 
2.8141557311.0%
 

age
Real number (ℝ)

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.220446049e-18
Minimum-1.674555316
Maximum3.343828123
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:14.617201image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.674555316
5-th percentile-1.674555316
Q1-0.5520221783
median-0.08980265101
Q30.7025736815
95-th percentile1.313363771
Maximum3.343828123
Range5.018383439
Interquartile range (IQR)1.25459586

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)4.52628793e+17
Kurtosis0.7156460209
Mean2.220446049e-18
Median Absolute Deviation (MAD)0.5612665688
Skewness0.346682898
Sum2.220446049e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:14.744230image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
0.702573681566.0%
 
-1.67455531666.0%
 
-0.552022178366.0%
 
-0.419959456266.0%
 
-0.353928095255.0%
 
0.504479598355.0%
 
-0.0898026510155.0%
 
-1.54249259455.0%
 
-0.155834012144.0%
 
0.966699125644.0%
 
Other values (23)4848.0%
 
ValueCountFrequency (%) 
-1.67455531666.0%
 
-1.60852395544.0%
 
-1.54249259455.0%
 
-1.47646123311.0%
 
-0.618053539344.0%
 
ValueCountFrequency (%) 
3.34382812311.0%
 
2.74954587411.0%
 
2.41938906811.0%
 
1.69304409711.0%
 
1.62701273611.0%
 

rot_30_x
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.992007222e-18
Minimum-8.963613456
Maximum0.5930379524
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:14.880260image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-8.963613456
5-th percentile-1.181022216
Q10.09123205394
median0.1881204557
Q30.3321331421
95-th percentile0.4876840748
Maximum0.5930379524
Range9.556651409
Interquartile range (IQR)0.2409010882

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.005841762e+17
Kurtosis64.9897363
Mean9.992007222e-18
Median Absolute Deviation (MAD)0.1443186955
Skewness-7.426849217
Sum9.992007222e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:15.025292image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.190971985811.0%
 
0.164109492611.0%
 
0.188969709511.0%
 
0.215226008911.0%
 
-1.18363756311.0%
 
0.499588232911.0%
 
0.190557551811.0%
 
0.506843740511.0%
 
0.479754988711.0%
 
-0.022625516911.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-8.96361345611.0%
 
-1.19233530111.0%
 
-1.18799337711.0%
 
-1.18363756311.0%
 
-1.18354750811.0%
 
ValueCountFrequency (%) 
0.593037952411.0%
 
0.584285553911.0%
 
0.557103162411.0%
 
0.506843740511.0%
 
0.499588232911.0%
 

rot_y
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.411537967e-17
Minimum-1.826403303
Maximum3.27080583
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:16.319096image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.826403303
5-th percentile-1.15491633
Q1-0.6044312166
median-0.2728420527
Q30.4971723128
95-th percentile1.886467808
Maximum3.27080583
Range5.097209133
Interquartile range (IQR)1.101603529

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.567545604e+16
Kurtosis1.710240894
Mean6.411537967e-17
Median Absolute Deviation (MAD)0.4951926632
Skewness1.251012425
Sum6.411537967e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:16.465129image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.2708058311.0%
 
0.825730185611.0%
 
2.75735451711.0%
 
-0.601149789211.0%
 
-0.797746415711.0%
 
-1.07723546111.0%
 
-0.452537119411.0%
 
0.217792072611.0%
 
-0.614275498711.0%
 
-0.862305603111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.82640330311.0%
 
-1.45874918111.0%
 
-1.42607426611.0%
 
-1.33139635111.0%
 
-1.17127214911.0%
 
ValueCountFrequency (%) 
3.2708058311.0%
 
3.10075049711.0%
 
2.88012546111.0%
 
2.75735451711.0%
 
2.3034642711.0%
 

m_NT
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.941291737e-17
Minimum-0.1559685952
Maximum7.888432229
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:16.589156image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.1559685952
5-th percentile-0.1559685952
Q1-0.1559685952
median-0.1559685952
Q3-0.1559685952
95-th percentile-0.08041241858
Maximum7.888432229
Range8.044400824
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-2.550021369e+16
Kurtosis50.16016582
Mean-3.941291737e-17
Median Absolute Deviation (MAD)0
Skewness7.04669792
Sum-3.941291737e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:16.692179image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
-0.15596859529393.0%
 
-0.034332478811.0%
 
5.87270880411.0%
 
-0.0828376785711.0%
 
7.88843222911.0%
 
0.997612637311.0%
 
-0.00115899252411.0%
 
-0.135345170611.0%
 
ValueCountFrequency (%) 
-0.15596859529393.0%
 
-0.135345170611.0%
 
-0.0828376785711.0%
 
-0.034332478811.0%
 
-0.00115899252411.0%
 
ValueCountFrequency (%) 
7.88843222911.0%
 
5.87270880411.0%
 
0.997612637311.0%
 
-0.00115899252411.0%
 
-0.034332478811.0%
 

phi
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.744604875e-16
Minimum-1.119634571
Maximum3.097760885
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:16.832211image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.119634571
5-th percentile-0.5747083867
Q1-0.4060488142
median-0.278445853
Q3-0.2573378073
95-th percentile3.022814314
Maximum3.097760885
Range4.217395457
Interquartile range (IQR)0.1487110069

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-1.490135944e+15
Kurtosis4.69389209
Mean-6.744604875e-16
Median Absolute Deviation (MAD)0.05257596661
Skewness2.470763968
Sum-6.744604875e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:16.964241image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.275272314811.0%
 
3.04270674711.0%
 
3.03883000411.0%
 
-0.403486103311.0%
 
-0.280012802711.0%
 
-0.271662880511.0%
 
-0.791262541511.0%
 
-0.276652587811.0%
 
-0.405908897911.0%
 
-0.309969899211.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.11963457111.0%
 
-0.791262541511.0%
 
-0.706001051811.0%
 
-0.658355053711.0%
 
-0.643537255211.0%
 
ValueCountFrequency (%) 
3.09776088511.0%
 
3.04290807611.0%
 
3.04270674711.0%
 
3.03883000411.0%
 
3.03848026711.0%
 

rot_45_x
Real number (ℝ)

HIGH CORRELATION

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.609823386e-17
Minimum-7.178470566
Maximum0.6581895751
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:17.101272image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-7.178470566
5-th percentile-1.910347187
Q10.1402130746
median0.2861312195
Q30.4629006293
95-th percentile0.6076777601
Maximum0.6581895751
Range7.836660141
Interquartile range (IQR)0.3226875547

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)6.243155766e+16
Kurtosis26.14413376
Mean1.609823386e-17
Median Absolute Deviation (MAD)0.1770327207
Skewness-4.366063262
Sum1.609823386e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:17.235303image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1.90961869422.0%
 
0.291660749222.0%
 
-1.92050221311.0%
 
0.286745611611.0%
 
0.464217183911.0%
 
-7.17847056611.0%
 
0.606756171811.0%
 
-0.124370533111.0%
 
-0.121737423711.0%
 
0.516528290311.0%
 
Other values (88)8888.0%
 
ValueCountFrequency (%) 
-7.17847056611.0%
 
-1.92050221311.0%
 
-1.91716694111.0%
 
-1.91470937211.0%
 
-1.9141827511.0%
 
ValueCountFrequency (%) 
0.658189575111.0%
 
0.651343490711.0%
 
0.622905909311.0%
 
0.613602256211.0%
 
0.611846849911.0%
 

_QLD
Real number (ℝ)

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.775557562e-17
Minimum-0.4140895124
Maximum3.124301694
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:17.390338image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4140895124
5-th percentile-0.4140895124
Q1-0.4140895124
median-0.3883507961
Q3-0.3520059857
95-th percentile2.733262388
Maximum3.124301694
Range3.538391206
Interquartile range (IQR)0.06208352665

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)3.621030344e+16
Kurtosis3.853371936
Mean2.775557562e-17
Median Absolute Deviation (MAD)0.02573871625
Skewness2.352403282
Sum2.775557562e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:17.544373image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.41408951243434.0%
 
-0.381812665633.0%
 
-0.364981181122.0%
 
-0.397130491222.0%
 
-0.352829374711.0%
 
-0.388433557311.0%
 
-0.341319894311.0%
 
-0.392098693711.0%
 
-0.375605579711.0%
 
-0.397550962811.0%
 
Other values (53)5353.0%
 
ValueCountFrequency (%) 
-0.41408951243434.0%
 
-0.401961242711.0%
 
-0.399896856411.0%
 
-0.398576609311.0%
 
-0.398207254511.0%
 
ValueCountFrequency (%) 
3.12430169411.0%
 
3.07291815411.0%
 
3.01647819911.0%
 
3.00212435911.0%
 
2.9518859211.0%
 

c_WC
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.2743516306
93 
3.644957378
 
7
ValueCountFrequency (%) 
-0.27435163069393.0%
 
3.64495737877.0%
 
2021-06-04T01:57:17.717412image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-06-04T01:57:17.799431image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:17.911455image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.86
Min length18

b_deg
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.664535259e-17
Minimum-1.68518068
Maximum2.097356394
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:18.059487image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.68518068
5-th percentile-1.405611595
Q1-0.8812441211
median-0.1024766743
Q30.8689226068
95-th percentile1.593657989
Maximum2.097356394
Range3.782537074
Interquartile range (IQR)1.750166728

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-3.771906609e+16
Kurtosis-1.083629128
Mean-2.664535259e-17
Median Absolute Deviation (MAD)0.8430464455
Skewness0.2361909943
Sum-2.664535259e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:18.201519image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.40196763811.0%
 
-0.0505139270511.0%
 
1.05373665411.0%
 
-0.811360279811.0%
 
-1.17978699611.0%
 
0.00938206762511.0%
 
0.486048402911.0%
 
0.506045579311.0%
 
-0.358166140911.0%
 
-1.14478375211.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.6851806811.0%
 
-1.67181068311.0%
 
-1.64635106211.0%
 
-1.51570471811.0%
 
-1.40673678411.0%
 
ValueCountFrequency (%) 
2.09735639411.0%
 
2.02605603711.0%
 
1.89562680611.0%
 
1.76590612211.0%
 
1.68602989411.0%
 

t_pmt
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.630429291e-16
Minimum-1.456796589
Maximum3.306184909
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:18.353555image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.456796589
5-th percentile-1.311755892
Q1-0.7622667067
median-0.2296865027
Q30.6211026875
95-th percentile1.607692033
Maximum3.306184909
Range4.762981498
Interquartile range (IQR)1.383369394

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-2.768371823e+15
Kurtosis0.8299980351
Mean-3.630429291e-16
Median Absolute Deviation (MAD)0.6183285293
Skewness0.9231368418
Sum-3.630429291e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:18.505589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.761657856722.0%
 
0.433234412711.0%
 
-0.219403457211.0%
 
3.30618490911.0%
 
-1.15407544411.0%
 
-0.792207172111.0%
 
-1.16004957211.0%
 
0.875775855611.0%
 
0.0969574517611.0%
 
0.113462531311.0%
 
Other values (89)8989.0%
 
ValueCountFrequency (%) 
-1.45679658911.0%
 
-1.43598007411.0%
 
-1.39519095611.0%
 
-1.38017781911.0%
 
-1.31683291511.0%
 
ValueCountFrequency (%) 
3.30618490911.0%
 
3.05136669111.0%
 
2.71820230211.0%
 
1.98857647711.0%
 
1.72549435911.0%
 

t_sales
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.996003611e-16
Minimum-2.741149926
Maximum2.249111857
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:18.652621image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-2.741149926
5-th percentile-1.794263775
Q1-0.6137063795
median0.05870113287
Q30.7062279244
95-th percentile1.499756832
Maximum2.249111857
Range4.990261784
Interquartile range (IQR)1.319934304

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-2.011683525e+15
Kurtosis0.01721652554
Mean-4.996003611e-16
Median Absolute Deviation (MAD)0.6608309931
Skewness-0.4456092721
Sum-4.996003611e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:18.792653image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.187985389922.0%
 
0.760082131322.0%
 
-0.406995221322.0%
 
-1.90503480811.0%
 
-0.209185500511.0%
 
1.26810403811.0%
 
-2.27431898511.0%
 
1.5486479111.0%
 
1.62662454311.0%
 
-0.221744847811.0%
 
Other values (87)8787.0%
 
ValueCountFrequency (%) 
-2.74114992611.0%
 
-2.51884947811.0%
 
-2.27431898511.0%
 
-2.18649930311.0%
 
-1.90503480811.0%
 
ValueCountFrequency (%) 
2.24911185711.0%
 
1.65255304811.0%
 
1.62662454311.0%
 
1.60146347911.0%
 
1.5486479111.0%
 

t_pay
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.882583475e-17
Minimum-1.308366774
Maximum3.898928711
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:18.933686image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.308366774
5-th percentile-1.046827133
Q1-0.6869942497
median-0.30140601
Q30.3552675782
95-th percentile2.028409281
Maximum3.898928711
Range5.207295485
Interquartile range (IQR)1.042261828

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.275010685e+16
Kurtosis3.446430784
Mean7.882583475e-17
Median Absolute Deviation (MAD)0.4482034803
Skewness1.754123365
Sum7.882583475e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:19.081718image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0276524704622.0%
 
0.491249748622.0%
 
0.230086438322.0%
 
-0.522879597722.0%
 
-0.3014060122.0%
 
-0.703588597222.0%
 
-0.66640684822.0%
 
-0.380482078922.0%
 
-1.30836677411.0%
 
0.351171245811.0%
 
Other values (82)8282.0%
 
ValueCountFrequency (%) 
-1.30836677411.0%
 
-1.23060918611.0%
 
-1.10630106911.0%
 
-1.07254813111.0%
 
-1.06878742311.0%
 
ValueCountFrequency (%) 
3.89892871111.0%
 
3.46646181611.0%
 
3.06671109211.0%
 
2.68671089811.0%
 
2.34324918511.0%
 

cc_ID
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.1005037815
99 
9.949874371
 
1
ValueCountFrequency (%) 
-0.10050378159999.0%
 
9.94987437111.0%
 
2021-06-04T01:57:19.228751image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2021-06-04T01:57:19.310769image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:19.408814image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.95
Min length15

_VIC
Real number (ℝ)

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.218847494e-17
Minimum-0.7895162188
Maximum1.654106334
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:19.540844image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7895162188
5-th percentile-0.7895162188
Q1-0.7648934467
median-0.7433809441
Q31.188692489
95-th percentile1.570656379
Maximum1.654106334
Range2.443622553
Interquartile range (IQR)1.953585936

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)2.382256805e+16
Kurtosis-1.507946673
Mean4.218847494e-17
Median Absolute Deviation (MAD)0.04613527466
Skewness0.6496914201
Sum4.218847494e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:19.690878image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.78951621881010.0%
 
-0.747292597722.0%
 
-0.753920291322.0%
 
-0.761248864622.0%
 
-0.764444304722.0%
 
0.720768132611.0%
 
-0.731850816311.0%
 
1.35880269811.0%
 
-0.752551217211.0%
 
-0.722722316311.0%
 
Other values (77)7777.0%
 
ValueCountFrequency (%) 
-0.78951621881010.0%
 
-0.781036012611.0%
 
-0.778757748211.0%
 
-0.778340753211.0%
 
-0.775382541711.0%
 
ValueCountFrequency (%) 
1.65410633411.0%
 
1.64324294911.0%
 
1.61136063611.0%
 
1.58062956211.0%
 
1.5721096411.0%
 

cc_NA
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.1005037815
99 
9.949874371
 
1
ValueCountFrequency (%) 
-0.10050378159999.0%
 
9.94987437111.0%
 
2021-06-04T01:57:19.832910image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2021-06-04T01:57:19.911929image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:20.008949image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.95
Min length15

cc_ZA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.2743516306
93 
3.644957378
 
7
ValueCountFrequency (%) 
-0.27435163069393.0%
 
3.64495737877.0%
 
2021-06-04T01:57:20.126976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-06-04T01:57:20.199993image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:20.303035image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.86
Min length18

rot_45_y
Real number (ℝ)

HIGH CORRELATION

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.609823386e-17
Minimum-7.178470566
Maximum0.6581895751
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:20.445067image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-7.178470566
5-th percentile-1.910347187
Q10.1402130746
median0.2861312195
Q30.4629006293
95-th percentile0.6076777601
Maximum0.6581895751
Range7.836660141
Interquartile range (IQR)0.3226875547

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)6.243155766e+16
Kurtosis26.14413376
Mean1.609823386e-17
Median Absolute Deviation (MAD)0.1770327207
Skewness-4.366063262
Sum1.609823386e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:20.582097image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1.90961869422.0%
 
0.291660749222.0%
 
-1.92050221311.0%
 
0.286745611611.0%
 
0.464217183911.0%
 
-7.17847056611.0%
 
0.606756171811.0%
 
-0.124370533111.0%
 
-0.121737423711.0%
 
0.516528290311.0%
 
Other values (88)8888.0%
 
ValueCountFrequency (%) 
-7.17847056611.0%
 
-1.92050221311.0%
 
-1.91716694111.0%
 
-1.91470937211.0%
 
-1.9141827511.0%
 
ValueCountFrequency (%) 
0.658189575111.0%
 
0.651343490711.0%
 
0.622905909311.0%
 
0.613602256211.0%
 
0.611846849911.0%
 

m_dist
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.218847494e-17
Minimum-0.5817393318
Maximum7.395707405
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:20.730130image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.5817393318
5-th percentile-0.5396701321
Q1-0.4660241343
median-0.3699788181
Q30.07093195062
95-th percentile1.671295081
Maximum7.395707405
Range7.977446737
Interquartile range (IQR)0.5369560849

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-2.382256805e+16
Kurtosis29.82458341
Mean-4.218847494e-17
Median Absolute Deviation (MAD)0.1418612879
Skewness4.69130503
Sum-4.218847494e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:20.867174image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.781596253611.0%
 
-0.574017448911.0%
 
-0.526101735911.0%
 
-0.477814017811.0%
 
-0.364047829311.0%
 
-0.437790265311.0%
 
-0.490501323911.0%
 
-0.514353796311.0%
 
-0.194579019411.0%
 
-0.487257504911.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-0.581739331811.0%
 
-0.574017448911.0%
 
-0.56046867511.0%
 
-0.553019718311.0%
 
-0.546551405711.0%
 
ValueCountFrequency (%) 
7.39570740511.0%
 
2.80559604711.0%
 
2.10284529411.0%
 
1.95674987411.0%
 
1.86879724711.0%
 

c_SULTRA
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.1005037815
99 
9.949874371
 
1
ValueCountFrequency (%) 
-0.10050378159999.0%
 
9.94987437111.0%
 
2021-06-04T01:57:21.016208image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2021-06-04T01:57:21.097226image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:21.191249image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.95
Min length15

cc_AU
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0.3865556717
87 
-2.586949496
13 
ValueCountFrequency (%) 
0.38655567178787.0%
 
-2.5869494961313.0%
 
2021-06-04T01:57:21.319276image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-06-04T01:57:21.410297image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:21.505318image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length18
Median length18
Mean length18
Min length18

_TAS
Real number (ℝ)

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.552713679e-17
Minimum-0.1337462035
Maximum9.827847931
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:21.610342image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.1337462035
5-th percentile-0.1337462035
Q1-0.1337462035
median-0.1337462035
Q3-0.1337462035
95-th percentile0.04873146764
Maximum9.827847931
Range9.961594134
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)2.828929956e+16
Kurtosis95.05064527
Mean3.552713679e-17
Median Absolute Deviation (MAD)0
Skewness9.651627188
Sum3.552713679e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:21.719377image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
-0.13374620359090.0%
 
0.0434561987611.0%
 
0.275506963611.0%
 
9.82784793111.0%
 
0.853438800811.0%
 
0.0119201780211.0%
 
-0.0494881984911.0%
 
0.148961576411.0%
 
-0.0451450023511.0%
 
-0.0143806964111.0%
 
ValueCountFrequency (%) 
-0.13374620359090.0%
 
-0.0494881984911.0%
 
-0.0451450023511.0%
 
-0.0143806964111.0%
 
0.0119201780211.0%
 
ValueCountFrequency (%) 
9.82784793111.0%
 
0.985040560911.0%
 
0.853438800811.0%
 
0.275506963611.0%
 
0.148961576411.0%
 

t_phb
Real number (ℝ)

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.776356839e-17
Minimum-0.288791124
Maximum7.786025022
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:21.836404image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.288791124
5-th percentile-0.288791124
Q1-0.288791124
median-0.288791124
Q3-0.288791124
95-th percentile1.961831073
Maximum7.786025022
Range8.074816146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)5.657859913e+16
Kurtosis37.1945599
Mean1.776356839e-17
Median Absolute Deviation (MAD)0
Skewness5.474077132
Sum1.776356839e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:21.956431image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
-0.2887911248484.0%
 
2.20490209811.0%
 
-0.0552220619511.0%
 
2.62711470711.0%
 
0.321177002111.0%
 
0.87265503411.0%
 
2.05012113911.0%
 
1.95718422811.0%
 
7.78602502211.0%
 
0.550669960511.0%
 
Other values (7)77.0%
 
ValueCountFrequency (%) 
-0.2887911248484.0%
 
-0.102857857511.0%
 
-0.0608729263511.0%
 
-0.0552220619511.0%
 
0.075095440511.0%
 
ValueCountFrequency (%) 
7.78602502211.0%
 
2.62711470711.0%
 
2.45303077611.0%
 
2.20490209811.0%
 
2.05012113911.0%
 

rot_x
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.110223025e-18
Minimum-1.363500146
Maximum1.398550212
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:22.101464image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.363500146
5-th percentile-1.363400663
Q1-1.299431646
median0.4346184374
Q30.8865755022
95-th percentile1.13472921
Maximum1.398550212
Range2.762050357
Interquartile range (IQR)2.186007148

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)9.052575861e+17
Kurtosis-1.61361917
Mean1.110223025e-18
Median Absolute Deviation (MAD)0.6531024029
Skewness-0.3098169448
Sum1.110223025e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:22.239494image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1.36295810522.0%
 
0.720848309911.0%
 
0.312752162511.0%
 
0.792531271211.0%
 
1.03014220411.0%
 
1.0203052611.0%
 
-1.35209459211.0%
 
1.1949236611.0%
 
-0.0961964600311.0%
 
0.745030453511.0%
 
Other values (89)8989.0%
 
ValueCountFrequency (%) 
-1.36350014611.0%
 
-1.36349779511.0%
 
-1.36349779511.0%
 
-1.36345757811.0%
 
-1.36344516711.0%
 
ValueCountFrequency (%) 
1.39855021211.0%
 
1.36077246111.0%
 
1.25508894811.0%
 
1.25002392911.0%
 
1.1949236611.0%
 

amt
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.398881011e-16
Minimum-1.164794347
Maximum3.757231547
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:22.390528image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.164794347
5-th percentile-1.071228225
Q1-0.8631252733
median-0.1771492669
Q30.5747768479
95-th percentile1.983742092
Maximum3.757231547
Range4.922025894
Interquartile range (IQR)1.437902121

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-7.184584016e+15
Kurtosis1.536830401
Mean-1.398881011e-16
Median Absolute Deviation (MAD)0.6984876607
Skewness1.211889082
Sum-1.398881011e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:22.535562image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.860255742211.0%
 
2.42726373311.0%
 
-0.862866530511.0%
 
-1.09000636811.0%
 
-0.0769675313911.0%
 
-0.845021895711.0%
 
0.369110590611.0%
 
0.897794756311.0%
 
-0.427018706411.0%
 
-0.888268898711.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.16479434711.0%
 
-1.10918735311.0%
 
-1.09000636811.0%
 
-1.08275244911.0%
 
-1.07334370211.0%
 
ValueCountFrequency (%) 
3.75723154711.0%
 
2.84810882111.0%
 
2.42726373311.0%
 
2.36422305211.0%
 
2.2582211311.0%
 

c_ER
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.1005037815
99 
9.949874371
 
1
ValueCountFrequency (%) 
-0.10050378159999.0%
 
9.94987437111.0%
 
2021-06-04T01:57:22.680593image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2021-06-04T01:57:22.760612image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:22.869636image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.95
Min length15

pca_y
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.436895709e-18
Minimum-0.7036192912
Maximum3.266341393
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:22.996665image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.7036192912
5-th percentile-0.6849150653
Q1-0.5656407126
median-0.3752533109
Q3-0.1076558021
95-th percentile2.610692366
Maximum3.266341393
Range3.969960684
Interquartile range (IQR)0.4579849105

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.065008925e+17
Kurtosis3.06303697
Mean9.436895709e-18
Median Absolute Deviation (MAD)0.1904455437
Skewness2.114003765
Sum9.436895709e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:23.137697image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.256964998911.0%
 
-0.61037175311.0%
 
-0.436491201811.0%
 
-0.258483309211.0%
 
-0.258487721211.0%
 
-0.373956538711.0%
 
0.241563044511.0%
 
-0.566269244811.0%
 
-0.373138138511.0%
 
-0.571783125911.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-0.703619291211.0%
 
-0.692716636911.0%
 
-0.689183996311.0%
 
-0.686650013611.0%
 
-0.685091995411.0%
 
ValueCountFrequency (%) 
3.26634139311.0%
 
2.61638224711.0%
 
2.61586259411.0%
 
2.6151207711.0%
 
2.61480280211.0%
 

rot_30_y
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.815170816e-16
Minimum-4.14898617
Maximum0.6998195031
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:23.294737image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-4.14898617
5-th percentile-2.512301422
Q10.1362853917
median0.3634949601
Q30.554525558
95-th percentile0.6808196989
Maximum0.6998195031
Range4.848805673
Interquartile range (IQR)0.4182401662

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-1.140122904e+15
Kurtosis4.211212871
Mean-8.815170816e-16
Median Absolute Deviation (MAD)0.1910960489
Skewness-2.264696798
Sum-8.815170816e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:23.440765image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.363478728211.0%
 
0.618403140411.0%
 
0.680779014511.0%
 
-2.38460979711.0%
 
-0.222304804611.0%
 
0.551346732611.0%
 
0.360320847111.0%
 
-0.220577421211.0%
 
0.577491013611.0%
 
0.55472191111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-4.1489861711.0%
 
-2.51914045211.0%
 
-2.51750365211.0%
 
-2.51741987511.0%
 
-2.51653602511.0%
 
ValueCountFrequency (%) 
0.699819503111.0%
 
0.689048882411.0%
 
0.685823455911.0%
 
0.682557711611.0%
 
0.681592701711.0%
 

_SA
Real number (ℝ)

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.330669074e-18
Minimum-0.327445466
Maximum3.80455854
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:23.593799image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.327445466
5-th percentile-0.327445466
Q1-0.327445466
median-0.2884962479
Q3-0.2328300151
95-th percentile3.543483937
Maximum3.80455854
Range4.132004006
Interquartile range (IQR)0.0946154509

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)3.017525287e+17
Kurtosis9.894889031
Mean3.330669074e-18
Median Absolute Deviation (MAD)0.03894921809
Skewness3.406941618
Sum3.330669074e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:23.733831image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.3274454663131.0%
 
-0.288496247933.0%
 
-0.214138649722.0%
 
-0.266348653322.0%
 
-0.292037085922.0%
 
-0.213099137711.0%
 
-0.24754963411.0%
 
-0.26512671711.0%
 
-0.304192201511.0%
 
-0.286978745911.0%
 
Other values (55)5555.0%
 
ValueCountFrequency (%) 
-0.3274454663131.0%
 
-0.322054570811.0%
 
-0.314408070811.0%
 
-0.314072343911.0%
 
-0.306945877511.0%
 
ValueCountFrequency (%) 
3.8045585411.0%
 
3.75550705111.0%
 
3.71055510311.0%
 
3.70494417111.0%
 
3.6313275211.0%
 

_WA
Real number (ℝ)

Distinct63
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.884182031e-17
Minimum-0.4361006339
Maximum3.047814583
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:23.880865image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4361006339
5-th percentile-0.4361006339
Q1-0.4361006339
median-0.4049160368
Q3-0.3265890485
95-th percentile2.686630249
Maximum3.047814583
Range3.483915217
Interquartile range (IQR)0.1095115854

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)1.708033181e+16
Kurtosis3.296345788
Mean5.884182031e-17
Median Absolute Deviation (MAD)0.03118459702
Skewness2.254299165
Sum5.884182031e-15
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:24.023404image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.43610063393535.0%
 
-0.399786532222.0%
 
-0.400850125222.0%
 
-0.357117462822.0%
 
-0.412166339611.0%
 
-0.362198251611.0%
 
2.54542859411.0%
 
-0.367419615511.0%
 
-0.410097943811.0%
 
-0.388232045311.0%
 
Other values (53)5353.0%
 
ValueCountFrequency (%) 
-0.43610063393535.0%
 
-0.427999795811.0%
 
-0.423179051711.0%
 
-0.422512131311.0%
 
-0.422243937211.0%
 
ValueCountFrequency (%) 
3.04781458311.0%
 
2.87190041311.0%
 
2.83435830911.0%
 
2.76901355411.0%
 
2.73238367811.0%
 

g_M
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0.8864052604
56 
-1.12815215
44 
ValueCountFrequency (%) 
0.88640526045656.0%
 
-1.128152154444.0%
 
2021-06-04T01:57:24.181439image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-06-04T01:57:24.266459image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:24.367482image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length19
Median length18
Mean length18.44
Min length18

cc_AQ
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
-0.1005037815
99 
9.949874371
 
1
ValueCountFrequency (%) 
-0.10050378159999.0%
 
9.94987437111.0%
 
2021-06-04T01:57:24.486508image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2021-06-04T01:57:24.567528image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:24.662549image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.95
Min length15

r
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.489675133e-16
Minimum-1.935434941
Maximum7.895488977
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:24.788576image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-1.935434941
5-th percentile-1.635140421
Q1-0.01389602467
median0.1847953352
Q30.2421749999
95-th percentile0.2815613302
Maximum7.895488977
Range9.830923918
Interquartile range (IQR)0.2560710246

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)4.036823126e+15
Kurtosis38.85726467
Mean2.489675133e-16
Median Absolute Deviation (MAD)0.08297203706
Skewness4.414689798
Sum2.489675133e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:24.939611image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.184730625111.0%
 
0.242407100811.0%
 
-1.78260475411.0%
 
0.0737674385311.0%
 
0.210266532111.0%
 
0.189623826211.0%
 
-0.272684383611.0%
 
-0.295880951611.0%
 
0.194598574611.0%
 
0.24209763311.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-1.93543494111.0%
 
-1.93529554611.0%
 
-1.93318026711.0%
 
-1.78260475411.0%
 
-1.63570761511.0%
 
ValueCountFrequency (%) 
7.89548897711.0%
 
0.289417227411.0%
 
0.283427377611.0%
 
0.283410598211.0%
 
0.282975149511.0%
 

bal
Real number (ℝ)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.498801083e-16
Minimum-0.4994548655
Maximum7.811426877
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:25.091646image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4994548655
5-th percentile-0.4381816339
Q1-0.3696286331
median-0.3158303308
Q3-0.1167357011
95-th percentile1.367663837
Maximum7.811426877
Range8.310881743
Interquartile range (IQR)0.252892932

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)-6.705611749e+15
Kurtosis38.51198959
Mean-1.498801083e-16
Median Absolute Deviation (MAD)0.0923136258
Skewness5.560989246
Sum-1.498801083e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:25.223674image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.77162969911.0%
 
-0.353880375511.0%
 
-0.383831531411.0%
 
-0.127407227111.0%
 
-0.128183470711.0%
 
-0.411086879611.0%
 
-0.261434115411.0%
 
-0.364704889511.0%
 
-0.326142139311.0%
 
-0.406363288111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
-0.499454865511.0%
 
-0.47942973111.0%
 
-0.46892118211.0%
 
-0.454498163311.0%
 
-0.45421598311.0%
 
ValueCountFrequency (%) 
7.81142687711.0%
 
3.77162969911.0%
 
1.60566773311.0%
 
1.56319001711.0%
 
1.44676415111.0%
 

_NSW
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.220446049e-18
Minimum-0.6702608305
Maximum2.73168722
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:25.357704image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-0.6702608305
5-th percentile-0.6702608305
Q1-0.6101867943
median-0.4877494141
Q30.07539928533
95-th percentile2.268374077
Maximum2.73168722
Range3.40194805
Interquartile range (IQR)0.6855860797

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)4.52628793e+17
Kurtosis1.009298559
Mean2.220446049e-18
Median Absolute Deviation (MAD)0.1492753432
Skewness1.597875704
Sum2.220446049e-16
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:25.487734image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.67026083051010.0%
 
-0.641232662122.0%
 
-0.595457473522.0%
 
-0.590059293111.0%
 
0.208075361111.0%
 
-0.354873703811.0%
 
2.28003428311.0%
 
-0.42329101711.0%
 
2.21570094211.0%
 
-0.495220975211.0%
 
Other values (79)7979.0%
 
ValueCountFrequency (%) 
-0.67026083051010.0%
 
-0.658329006711.0%
 
-0.653637862311.0%
 
-0.644670208411.0%
 
-0.64343479911.0%
 
ValueCountFrequency (%) 
2.7316872211.0%
 
2.60137126311.0%
 
2.51228199411.0%
 
2.32402606311.0%
 
2.28003428311.0%
 

t_pos
Real number (ℝ)

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.33226763e-16
Minimum-2.643932457
Maximum2.222744198
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-06-04T01:57:25.632769image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-2.643932457
5-th percentile-1.694973625
Q1-0.6731725463
median0.1609140613
Q30.7474476194
95-th percentile1.429317962
Maximum2.222744198
Range4.866676655
Interquartile range (IQR)1.420620166

Descriptive statistics

Standard deviation1.005037815
Coefficient of variation (CV)7.543813217e+15
Kurtosis-0.1614020586
Mean1.33226763e-16
Median Absolute Deviation (MAD)0.625587398
Skewness-0.4324785466
Sum1.33226763e-14
Variance1.01010101
MonotocityNot monotonic
2021-06-04T01:57:25.779799image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1.57143389222.0%
 
0.723223840511.0%
 
1.4290757911.0%
 
0.0436063189911.0%
 
0.978888781211.0%
 
0.966486439711.0%
 
-0.161261361111.0%
 
0.25365359311.0%
 
-0.883934812411.0%
 
-0.248590835211.0%
 
Other values (89)8989.0%
 
ValueCountFrequency (%) 
-2.64393245711.0%
 
-2.57321826611.0%
 
-2.00077005211.0%
 
-1.93540399311.0%
 
-1.76682836811.0%
 
ValueCountFrequency (%) 
2.22274419811.0%
 
2.01731130411.0%
 
1.62722099611.0%
 
1.58185686611.0%
 
1.43391922811.0%
 

Interactions

2021-06-04T01:55:36.306358image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.412381image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.514406image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.616430image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.721451image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.836477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:36.955504image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.055527image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.179554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.296581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.414608image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.519632image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.622654image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.730680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.842704image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:37.962731image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.078757image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.182781image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.300819image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.412845image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.517868image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.632895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.740919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.839941image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:38.953968image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:55:39.064002image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-06-04T01:57:11.478479image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-06-04T01:57:25.965841image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-06-04T01:57:26.469955image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-06-04T01:57:26.972068image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-06-04T01:57:27.488184image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-06-04T01:57:27.931285image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-06-04T01:57:11.786565image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-06-04T01:57:13.741003image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

pca_xh_distagerot_30_xrot_ym_NTphirot_45_x_QLDc_WCb_degt_pmtt_salest_paycc_ID_VICcc_NAcc_ZArot_45_ym_distc_SULTRAcc_AU_TASt_phbrot_xamtc_ERpca_yrot_30_y_SA_WAg_Mcc_AQrbal_NSWt_pos
0-1.2921860.9338800.438448-0.787937-0.3865915.8727091.499673-1.569421-0.379587-0.2743520.2341060.207533-0.004555-0.826863-0.100504-0.748090-0.100504-0.274352-1.5694210.781596-0.100504-2.586949-0.133746-0.2887911.1949240.200383-0.1005042.407512-2.276500-0.327445-0.399787-1.128152-0.100504-1.935435-0.315529-0.5249530.661753
10.015840-0.603822-1.5424930.474605-1.171272-0.155969-0.5634020.6057033.016478-0.2743520.009382-0.9333581.188161-0.676296-0.100504-0.722722-0.100504-0.2743520.605703-0.471973-0.1005040.386556-0.133746-0.288791-1.343112-0.795476-0.100504-0.6827440.679325-0.327445-0.379176-1.128152-0.1005040.277212-0.422589-0.5501131.433919
20.115012-0.524116-0.3539280.188388-0.589660-0.155969-0.2757270.288852-0.414090-0.274352-0.936981-1.1261181.058637-0.380482-0.1005041.540568-0.100504-0.2743520.288852-0.425939-0.1005040.386556-0.133746-0.2887910.7925310.576586-0.100504-0.3804290.368307-0.218750-0.4361010.886405-0.1005040.1897460.994007-0.625031-0.161261
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